The probability package

The Library allows exact computation with discrete random variables
in terms of their distributions by using a monad.
The monad is similar to the List monad for non-deterministic computations,
but extends the List monad by a measure of probability.
Small interface to R plotting.

Downloads

Maintainer's Corner

Readme for probability

Readme for probability-0.2.1

Probabilistic Functional Programming in Haskell
Contact:
Martin Erwig, Oregon State University, erwig@eecs.oregonstate.edu
These files have been tested with GHC 6.4
Core Library files:
Show.hs Pretty Printing
ListUtils.hs
PrintList.hs
Probability.hs Core probabilistic module
Visualize.hs Visualization system for use with R
Examples:
Barber.hs An example of the queueing system
BayesianNetwork.hs Implementing Bayesian networks
Boys.hs A statistical examples
NBoys.hs A generalized version of the previous
Collection.hs Collections and two examples:
Marbles and cards
Dice.hs Rolling dice
MontyHall.hs The "Monty Hall" Game (statistical)
Predator.hs Non-probabilistic, demonstrates visualization
TreeGrowth.hs A simple tree growth example
Visualize output is placed in the file FuSE.R which can be loaded into the
R statistical program to see visualizations.
Randomized values can be displayed to the console using the printR
function, which shows the value from a IO monad function.